Contextual Imagined Goals for Self-Supervised Robotic Learning. - Ashvin Nair; Shikhar Bahl; Alexander Khazatsky; Vitchyr Pong; Glen Berseth; Sergey Levine (CoRL, 2019)

What Can I Do Here? Learning New Skills by Imagining Visual Affordances. - Alexander Khazatsky; Ashvin Nair; Daniel Jing; Sergey Levine (ICRA, 2021)

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. - Soroush Nasiriany; Vitchyr H. Pong; Ashvin Nair; Alexander Khazatsky; Glen Berseth; Sergey Levine (ICRA, 2021)

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL. - Benjamin Eysenbach; Alexander Khazatsky; Sergey Levine; Ruslan Salakhutdinov (NeurIPS, 2022)

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. - Eric Mitchell; Yoonho Lee 001; Alexander Khazatsky; Christopher D. Manning; Chelsea Finn (ICML, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

RLVF: Learning from Verbal Feedback without Overgeneralization. - Moritz Stephan; Alexander Khazatsky; Eric Mitchell; Annie S. Chen; Sheryl Hsu; Archit Sharma; Chelsea Finn (ICML, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

To Err is Robotic: Rapid Value-Based Trial-and-Error during Deployment. - Maximilian Du; Alexander Khazatsky; Tobias Gerstenberg; Chelsea Finn (CoRR, 2024)